How AI Assistants and Vision API Are Revolutionizing Apps and Software
Table of Contents
- AI Sports Commentators Personalize Gameplay
- Specialized AI Assistants Streamline Workflows
- Computer Vision Transforms Instruction and Feedback
- Combining AI Tools Multiplies Possibilities
AI Sports Commentators Personalize Gameplay
One of the most exciting AI innovations showcased after the OpenAI event was AI-generated sports commentary. By combining OpenAI's new text-to-speech and computer vision APIs, developers have created AI commentators that can narrate gameplay videos in real-time. For example, one demo showed an AI commentator narrating a soccer match, recognizing players and describing the action blow-by-blow.
This technology has huge potential to transform video games. Instead of pre-recorded, generic commentary, games could feature an AI commentator that reacts to each player's actions uniquely and keeps the narration fresh. The AI could even adopt the persona of real-life sports broadcasters. This would greatly enhance the sense of immersion and personalization in games like FIFA, Madden NFL, or NBA 2K.
Video Games Get Custom AI Commentary
AI sports commentators can react in real-time to the events unfolding in a video game. This adds a thrilling layer of unpredictability and realism to each gaming session. For example, after sinking a long three-pointer in NBA 2K, the AI commentator could shout "He's on fire!" then discuss your player's hot shooting streak. In story-driven games like the FIFA franchise, an AI commentator makes the game's narrative far more engaging. If your player misses an easy shot on goal, the commentator could criticize the poor play rather than just staying silent. This level of polish and reactivity takes video game commentary to the next level.
Create Live Play-By-Plays for Any Sport
The same technology powering AI commentators for established sports like soccer and basketball can also provide commentary for less popular sports. For example, disc golf or cricket games could utilize AI commentators to deliver the same level of voice-over polish that players expect from top titles. AI commentators open the door for indie developers and publishers to provide thrilling voice commentary without expensive voice acting costs. This democratizes professional commentary across sports niches and genres. Even entirely fictional sports created just for fantastical video games can come alive with the non-stop narration of an AI commentator reacting to the run-time action.
Specialized AI Assistants Streamline Workflows
OpenAI revealed AI 'helpers' called GPTs during its event. GPTs are AI assistants specialized for particular tasks, such as creating stickers or providing technical support. While OpenAI shared some pre-built GPTs, the real potential lies in creating custom AI helpers tailored to specific jobs and industries.
Workers can train GPTs to handle repetitive tasks automatically. For example, customer service reps could build a GPT to respond to common customer inquiries, freeing them to focus on more complex issues. Marketers might construct a GPT that analyzes campaign metrics and suggests optimization strategies.
Preset AI Helpers for Common Tasks
Out-of-the-box GPTs like the sticker creator demonstrate how AI can automate discrete assignments. While these prefabricated assistants aren't customizable, they provide a solid foundation for workers new to AI. Trying tools like the sticker GPT allows non-technical professionals to start benefiting from AI immediately. And for more advanced users, observing preset GPTs in action illustrates how to properly frame instructions for custom AI workflows moving forward.
Custom AI Assistants Boost Productivity
For professionals wanting AI tailored to their precise needs, custom GPTs offer nearly endless potential. After training a GPT with industry-specific data and guidelines, it can operate as a virtual assistant dedicated to individual tasks. Accountants could have a dedicated GPT for preparing financial reports or filing taxes. Engineers might construct a custom GPT to analyze CAD models for potential issues. Really, any repetitive task is a candidate for automation through a specialized GPT.
Computer Vision Transforms Instruction and Feedback
OpenAI's computer vision API allows AI systems to interpret visual data, such as smartphone camera inputs. Early experiments are using this technology to create AI personal trainers and coaches leveraging camera feeds to monitor exercise technique.
For example, one prototype yoga instructor GPT critiques users' poses in real-time and offers posture adjustment advice. This type of visual AI could massively expand access to coaching for fitness enthusiasts, athletes recovering from injury, and physical therapy patients.
Vision API Enables Smart Camera Apps
The OpenAI vision API unlocks a new generation of camera-centric apps powered by AI. Developers can now build mobile apps that interpret complex scenes, detect objects, recognize poses, and more. For example, future photography assistants may suggest optimal shots or automatically retouch images. Visual AI also expands accessibility features on phones. Apps could narrate scenes to aid the visually impaired or transcribe text visible in the camera feed into other languages.
Personal Trainers Monitor Posture Remotely
AI apps leveraging smartphone cameras can monitor exercise technique and body mechanics remotely. This allows personal trainers and physical therapists to give clients real-time feedback during workouts without needing an in-person session. Visual AI opens new telehealth opportunities as well. Doctors can assess how well patients perform prescribed exercises or stretches and adjust recovery treatment plans accordingly. The computer vision API enables affordable, specialized care at scale.
Combining AI Tools Multiplies Possibilities
While individual AI building blocks like computer vision and text-to-speech offer exciting possibilities, combining capabilities unlocks even more potential use cases. Chaining multiple AI tools together lets innovative thinkers push boundaries.
For example, using both computer vision and specialized GPTs, developers could create a workout tracker that identifies exercises via camera feed, then offers personalized workout recommendations and pacing guidance tailored to an athlete's unique goals. The future of AI is limited only by the human imagination.
Chaining Together Multiple AI Helpers
Like assembly line robots in a factory, AI tools can be orchestrated to tackle complex jobs. For instance, rather than relying solely on a general assistant like ChatGPT, users can engage domain-specific helpers in sequence. A marketer might first tap an SEO optimization GPT to brainstorm blog post topics and outlines. Then they utilize an AI content generator to draft the posts before passing them to an editing GPT for refinement. Finally, an email marketing assistant could develop promotions for the new content.
Sharing Custom AI Assistants
Once users spend the time training up custom GPTs, they can export their AI tools to benefit others. Early OpenAI prototypes illustrate the potential for sharing specialist AI helpers via simple links. Use case libraries may emerge where professionals publish custom GPT configurations to accelerate peers' productivity. Legal secretaries could share GPTs for drafting common case documents, while chemical engineers distribute custom lab report writers. Best of all, exported GPTs propagate best practices and standardized workflows across industries.
FAQ
Q: How can AI transform mobile apps?
A: With computer vision APIs, apps can provide personalized guidance, feedback and commentary based on analyzing images from a smartphone camera in real time.
Q: What industries will AI assistants impact first?
A: AI assistants may first transform workflows in creative fields like design, writing and media production by providing specialized, personalized recommendations and automation.
Q: Can I access these new AI capabilities?
A: Yes, OpenAI has released code examples and APIs to allow developers to start building using tools like ChatGPT, GPT-3.5 Turbo, image generation models and more.
Q: How long until these AI innovations are mainstream?
A: Given the speed of development, AI capabilities shown in early demos could be widely adopted in both consumer and enterprise apps within 1-3 years.
Q: Can AI really replace human jobs?
A: In some cases AI can automate tasks, though the technology still has limitations. The impact will depend on how human workers collaborate with AI tools.
Q: Is sharing custom AI assistants safe?
A: There are open questions around potential risks of sharing access to powerful AI models. Safeguards may need to be built into interfaces.
Q: Can I build my own AI assistant?
A: Yes, with new developer tools like ChatGPT APIs and OpenAI Codex, no coding experience is required to prototype an AI assistant customized for your needs.
Q: What's the benefit of chaining multiple AI tools?
A: Combining AI capabilities multiplies the possibilities - for example, generating images to illustrate writing advice from an AI writing assistant.
Q: How could AI change social media?
A: We may see AI bots that optimize posts based on individual user data and preferences, automatically generating content paired with customized images.
Q: Will AI replace human creativity?
A: It is unlikely AI will fully replace humans in creative fields anytime soon. More likely, AI becomes a collaborative tool enhancing human creativity.